BIOENGINEER

A multimodal risk stratification model using deep learning and tabular data

Cardiovascular disease and stroke kill millions every year, yet medicine still waits for the first symptom before acting. A ...
techtarget

Compare PyTorch vs. TensorFlow for AI and machine learning

At first glance, PyTorch and TensorFlow seem almost identical: They're both free, open source machine learning frameworks that make extensive use of Python; they both benefit from large, dynamic ...
cloud

TorchTPU is now open source: Run native PyTorch on TPUs

With TorchTPU now available as open source on GitHub, you can now train, serve, and deploy models on TPUs using the tools you ...
VentureBeat

OpenAI goes all-in on Facebook's Pytorch machine learning framework

In what might only be perceived as a win for Facebook, OpenAI today announced that it will migrate to the social network's PyTorch machine learning framework in future projects, eschewing Google's ...

3 Essential Books for Learning Deep Learning with Keras

Introduction A few years ago, when I was tasked with an in-house PoC for image classification, I took sample code for ...
BIOENGINEER

AI That Listens and Reads: Multimodal Deep Learning Scores Spoken English With 97.5% Accuracy

A new multimodal deep learning framework fuses Log-Mel spectrograms and BERT embeddings through self-attention to ...